Intermittent fault detection for linear discrete-time stochastic multi-agent systems

Abstract

In this paper, the intermittent fault (IF) detection problem is investigated for a class of linear discrete-time stochastic multi-agent systems (MASs). By using the reduced-order observer method and introducing a sliding-time window, the truncated residuals are designed to detect the appearing time and disappearing time of the IF. Moreover, two sets of hypothesis tests are proposed to determine the detection and location thresholds of the IF, and the detectability of the IF is discussed in the framework of statistical analysis. Finally, a simulation example is provided to validate the feasibility and effectiveness of the proposed method.